Here are some plots

Today we’re making interactive plots in plotly. We’ll make examples using the NYC airbnb dataset.

Do some initial data cleaning / subsetting

data("nyc_airbnb")

nyc_airbnb =
  nyc_airbnb |> 
  mutate(rating = review_scores_location / 2) |> 
  select(
    rating, neighbourhood_group, neighbourhood,
    room_type, price, lat, long) |> 
  drop_na(rating) |> 
  filter(
    neighbourhood_group == "Manhattan",
    room_type == "Entire home/apt",
    price %in% 100:500
  )

Use plotly to make some quick plots.

nyc_airbnb |> 
  mutate(text_label = str_c("Price: $", price, "\nNeighborhood: ", neighbourhood)) |> 
  plot_ly(
    x = ~lat, y = ~long, color = ~price, text = ~text_label,
    type = "scatter", mode = "markers", alpha = 0.5
  )

Next up – boxplot.

nyc_airbnb |> 
  plot_ly(x = ~neighbourhood, y = ~price, color = ~neighbourhood,
          type = "box", colors = "viridis")

Let’s do a bar chart with number of rentals.

nyc_airbnb |> 
  count(neighbourhood) |> 
  mutate(neighbourhood = fct_reorder(neighbourhood, n)) |> 
  plot_ly(x = ~neighbourhood, y = ~n,
          type = "bar")

Another plot, with some volcano dataset.

plot_ly(
  z = volcano,
  type = "heatmap"
)

Choropleth

plot_ly(
  type = "choropleth",
  locations = c("AZ", "CA", "VT"),
  locationmode = "USA-states",
  colorscale = "Viridis",
  z = c(10, 20, 40)
) |> 
  layout(geo = list(scope = "usa"))

Plotly

Here are some plots